Triple
T33405697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rover (Carousel of Progress) |
E855431
|
entity |
| Predicate | previouslyAppearedInEvent |
P192559
|
FINISHED |
| Object | 1964–1965 New York World’s Fair |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 1964–1965 New York World’s Fair | Statement: [Rover (Carousel of Progress), previouslyAppearedInEvent, 1964–1965 New York World’s Fair]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previouslyAppearedInEvent Context triple: [Rover (Carousel of Progress), previouslyAppearedInEvent, 1964–1965 New York World’s Fair]
-
A.
presentedBefore
Indicates that one entity was formally shown, introduced, or displayed to an audience or recipient prior to another entity in time.
-
B.
previouslyIn
Indicates that an entity was located in, part of, or associated with another entity at some earlier time, but is not necessarily so now.
-
C.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
-
D.
previousParticipation
chosen
Indicates that an entity has taken part in a specified event, activity, or process at some earlier time.
-
E.
hasFormerParticipant
Indicates that an entity once participated in an activity, event, or organization but is no longer a current participant.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fefb15220081908da36aac386fa582 |
completed | May 9, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69fefa8e8ad48190a723fed81e9d64d0 |
completed | May 9, 2026, 9:12 a.m. |
Created at: May 1, 2026, 1:36 a.m.